Optimal distributed detection fusion analysis with parallel topology based on wavelet domain filter

Li Ming; Wu Yan; Wu Shunjun

Volume 25 Issue 8

Aug. 2003

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Li Ming, Wu Yan, Wu Shunjun. Optimal distributed detection fusion analysis with parallel topology based on wavelet domain filter[J]. Journal of Electronics & Information Technology, 2003, 25(8): 1014-1020.

Citation:

Li Ming, Wu Yan, Wu Shunjun. Optimal distributed detection fusion analysis with parallel topology based on wavelet domain filter[J]. Journal of Electronics & Information Technology, 2003, 25(8): 1014-1020.

Citation:

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Optimal distributed detection fusion analysis with parallel topology based on wavelet domain filter

Li Ming^①;吴艳,
Wu Yan,
Wu Shunjun

Received Date: 2002-03-15
Rev Recd Date: 2002-09-26
Publish Date: 2003-08-19

Abstract

Abstract

This paper presents a theoretical analysis in the sense of the Neyman-Pearson (N-P) test about the relationship between fusion rule and local decision rules in the parallel distributed detection fusion system with multiple sensors. It combines wavelet filter based on soft-threshold with the parallel distributed detection fusion system with multiple sensors ideally, and derives the determination of decision rules of two sub-optimal systems and globally optimal system completely. The detection performances of three systems above are computed numerically for the problem of detecting a known signal embeded in Rayleigh noise. The results obtained indicate that the presented method can enhance the radar detection performance remarkably.

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References(1)

References

E. Waltz, J. Llina, Multisensor Data Fusion, Boston: Artech House, 1990, Chapter 1-12.[2]Y. Yu, J. B. Weaver, et al., Wavelet transform domain filters: a spatial selective noise filteration technique, IEEE Trans. on Image Processing, 1994, IP-3(6), 747-757.[3]D.L. Donoho, De-noising by soft-thresholding, IEEE Trans. on IT, 1995, IT-41(3), 612-627.[4]R. Viswanathan, P. K. Varshney, Distributed detection with multiple sensors: Part I Fundamentals, Proc. IEEE, 1997, 85(1), 54-63.[5]R. Srinivasan, Distributed radar detection theory, IEE Proc.-F, 1986, 133(1), 55-60.[6]S.C.A. Thomopoulos, Optimal distributed decision fusion, IEEE Trans. on Aerospace and Electronic Systems, 1989, AES-25(5), 761-765.[7]G. Polychronopoulos, N. Tsitsiklis, Explicit solutions for some simple decentralized detection problems, IEEE Trans. on Aerospace and Electronic Systems, 1991, AES-26(2), 282-292.[8]R.S. Blum, Necessary conditions for optimum distributed sensor detectors under the NeymanPearson criterion, IEEE Trans. on IT, 1996, IT-42(3), 990-994.

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